The comprehensive practice of selecting instructions, conversation history, retrieved documents and tools to create the most useful input for an AI task.
Context Engineering extends beyond refining a single prompt to designing the complete set of instructions, conversation history, documents and tools available to a model. A context window is finite, and stale or contradictory information can reduce answer quality. Selecting inputs by relevance and freshness is therefore a core curation skill. As AI agent systems become more complex, context engineering is increasingly recognized as a major driver of overall performance alongside prompt engineering.
A strategy for optimizing content so that brands and their content can be cited in the single answers generated by AI search systems or voice assistants.
Some websites are seeing sharp increases in site: operator queries in Search Console performance reports. Explore possible causes, measurement effects and diagnostic responses.
